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最小二乘法预测门诊人数
引用本文:黄小琼.最小二乘法预测门诊人数[J].中国病案,2012,13(4):62+2-62,M0002.
作者姓名:黄小琼
作者单位:南方医科大学附属南海医院,佛山市,528200
摘    要:目的建立趋势线性模型,预测2011-2012年门诊就诊人数。方法采用最小二乘法对模型进行回归分析。结果 2011和2012年的预测门诊人数分别为162.25万、170.68万人次,2011年门诊人数实际值为165.77万人次,误差仅为2.17%。结论应用最小二乘法对门诊人数预测,效果较理想,可为医院工作计划和决策提供了理论依据。

关 键 词:指数曲线  最小二乘法  预测  门诊人数

Using the Least Squares Method to Predict the Number of Outpatients
Huang Xiaoqiong.Using the Least Squares Method to Predict the Number of Outpatients[J].Chinese Medical Record,2012,13(4):62+2-62,M0002.
Authors:Huang Xiaoqiong
Institution:Huang Xiaoqiong,Affiliated Nanhai Hospital of Southern Medical University,Foshan 528200,Guangdong Province,China
Abstract:Objective To establish a trend linear model and predict the number of hospital outpatients from 2011 to 2012.Methods Using least-squares method to regressive analyze the model.Results The numbers of predictive outpatients were 1,622,500 in 2011,and 1,706,800 in 2012.The actual number of outpatients is 1,657,700 in 2011,the error is only 2.17%.Conclusion The effect of the least squares method is ideal for outpatients’ number forecast.It can provide a theoretical basis for hospital work planning and decision.
Keywords:Exponential curve  Least-squares method  Predict  The number of outpatient
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